Key Responsibilities
Architect and scale contemporary data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like
Databricks, Snowflake, BigQuery,
or
Microsoft Fabric .
Define standard patterns for integrating operational application layers with analytical data systems seamlessly.
Maintain a hybrid approach by remaining hands-on with architecture blueprints, system design, prototyping, and high-impact code reviews.
Technical Requirements & Qualifications:
Deep, practical knowledge of
Enterprise Data Architectur e, data modeling, and robust ETL/ELT engineering
Production-grade, hands-on experience in at least
2 to
3 of the following contemporary platforms
Databrick s (Delta Lake, Unity Catalog, Spark
Snowflak e (Snowpark, Streamlit, Data Sharing
Google BigQuery
Microsoft Fabric
📌 Enterprise Data Architect Mumbai (India)
🏢 Paltech
📍 India
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